Title :
Predicting oil and gas reservoir and calculating thickness of reservoir from seismic data using neural network
Author :
Xing-yao, Yin ; Guo-chen, Wu ; Feng-li, Yang
Author_Institution :
Univ. of Pet., Shan Dong, China
Abstract :
Neural networks have been developed and widely used in oil and gas exploration. Combining the neural networks with traditional seismic prospecting methods, we put forward a new method to predict oil and gas reservoirs and calculate the thickness of the reservoirs. This method is applied in oilfields and the results are satisfactory
Keywords :
geophysical prospecting; geophysical signal processing; neural nets; seismology; exploration; gas reservoir; neural network; oil reservoir; oilfields; seismic data; seismic prospecting; thickness; Artificial neural networks; Computer networks; Frequency; Geology; Hydrocarbon reservoirs; Intelligent networks; Neural networks; Petroleum; Robustness; Supervised learning;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.571194
